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ACL 2026aclfindings

Towards Reliable Paper Contributions Annotation in the ACL Rolling Review

Julien Aubert-Béduchaud, Florian Boudin, Akiko Aizawa, Beatrice Daille, Richard Dufour

INRIA and University of Nantes · National Institute of Informatics · Nantes University

PDF 由论文原始站点提供,PaperCompass 不保存论文文件。DOI 10.18653/v1/2026.findings-acl.178 ↗

摘要

With the rapid growth of scientific publications, researchers struggle to efficiently assess the relevance of numerous papers. Identifying the types of contributions an article makes can help readers quickly grasp its significance. The ACL Rolling Review (ARR) introduced a typology requiring authors to specify their contributions to improve review quality and fairness. However, the current typology lacks clear definitions and guidance, leading to inconsistent labeling and raising concerns about its reliability.Our re-annotation campaign reveals substantial disagreement between authors and domain experts. Moreover, the predictions of large language models (LLMs), when compared with expert annotations, tend to be close to those provided by the authors. These findings suggest a potential path toward better annotation reliability within the ARR process.